Given a set of flight trajectories, can we classify the trajectories that do not follow a normal path? By identifying abnormal trajectories, further analysis can be done to determine the reasoning for these actions. Addressing these scenarios can bring possible solutions for holding and rerouting problems when its time to incorporate UAM in the airspace.


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    Titel :

    Cluster-Based Flight Trajectory Outlier Detection


    Beteiligte:
    Mikol Forney (Autor:in) / Banavar Sridhar (Autor:in) / Kenneth Freeman (Autor:in)

    Kongress:

    Secure Airspace Intern Exit Presentations ; 2021 ; Virtual, US


    Medientyp :

    Sonstige


    Format :

    Keine Angabe


    Sprache :

    Englisch




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